Abstract: A method and/or system includes: adding a new source of data to be stored in the data storage system; obtaining the schema for the new source of data to be stored in the data storage system; storing the data to be stored in the data storage system in a Not Only Structured Query Language (NOSQL) database in the data storage system; and storing schema for the data to be stored in the data storage system in a metadata store in the electronic data storage system wherein the metadata store is separate from the NOSQL database.

Abstract: A method and/or system of extracting a table having data in a plurality of rows from a Not Only Structured Query Language (NoSQL) database to a different type of database that includes: scanning all the rows in a desired table in the NoSQL database and producing a list of column families and associated column names; creating a schema for a new table having a table catalog of new column names using a Java Script Object Notation (JSON) structure to extract the columns names from the list of column families; reading and extracting at least a portion of the data from the desired table in the NoSQL database into the new table having the table catalog of new columns names; associating a creation timestamp with the new table; and saving the new table having the table catalog of new column names to the different database.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for performing testing on a portion of an application. The method includes one or more processors identifying a test configuration for testing an application. The application comprises a plurality of components. The test configuration includes an indication to test at least one component of the application. The method further includes one or more processors testing the indicated at least one component of the application. The method further includes one or more processors determining a validation result of testing the indicated at least one component of the application.

Abstract: A computer-implemented system, platform, computer program product, and/or method for reducing data processing that includes identifying data properties used to generate features used as input to data analytic models; associating the data properties used to generate the features to corresponding features; determining whether an incoming data record is a previously processed data record; determining, in response to an incoming data record being a previously processed data record, whether the incoming data record matches the previously processed data record; identifying data properties in the incoming data record that have changed; determining features associated with the data properties in the incoming data record that have changed; and generating the features associated with the data properties in the incoming data record that have changed.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include receiving data, mapping a plurality of features to a plurality of attributes of the data, and generating a feature-to-attribute map based on said mapping. The operations may further include submitting new data to a feature calculation loop and implementing the feature calculation loop. The operations may also include tracking the features in the feature calculation loop, identifying a changed feature in the features, and recalculating for the changed feature using the feature calculation loop.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for performing testing on a portion of an application. The method includes one or more processors identifying a test configuration for testing an application. The application comprises a plurality of components. The test configuration includes an indication to test at least one component of the application. The method further includes one or more processors testing the indicated at least one component of the application. The method further includes one or more processors determining a validation result of testing the indicated at least one component of the application.

Abstract: A method and/or system includes: adding a new source of data to be stored in the data storage system; obtaining the schema for the new source of data to be stored in the data storage system; storing the data to be stored in the data storage system in a Not Only Structured Query Language (NOSQL) database in the data storage system; and storing schema for the data to be stored in the data storage system in a metadata store in the electronic data storage system wherein the metadata store is separate from the NOSQL database.

Abstract: A method and/or system of extracting a table having data in a plurality of rows from a Not Only Structured Query Language (NoSQL) database to a different type of database that includes: scanning all the rows in a desired table in the NoSQL database and producing a list of column families and associated column names; creating a schema for a new table having a table catalog of new column names using a Java Script Object Notation (JSON) structure to extract the columns names from the list of column families; reading and extracting at least a portion of the data from the desired table in the NoSQL database into the new table having the table catalog of new columns names; associating a creation timestamp with the new table; and saving the new table having the table catalog of new column names to the different database.